Plant single-cell RNA-seq technology quantifies the abundance of plant transcripts at a single-cell resolution. Deciphering the transcriptomes of each...
Read More »Impact of the Human Cell Atlas on medicine
Single-cell atlases promise to provide a ‘missing link’ between genes, diseases and therapies. By identifying the specific cell types, states, programs and contexts where disease-implicated genes act...
Read More »Data analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
The application of single-cell RNA sequencing (scRNA-seq) in biomedical research has advanced our understanding of the pathogenesis of disease...
Read More »Single-cell sequencing – promises and challenges for human genetics
Over the last decade, single-cell sequencing has transformed many fields. It has enabled the unbiased molecular phenotyping of even whole organisms with unprecedented cellular resolution...
Read More »Exosome RNA sequencing as a tool in the search for cancer biomarkers
Numerous noninvasive methods are currently being used to determine biomarkers for diseases such as cancer. However, these methods are not always precise and reliable. Thus, there is an unmet need for better diagnostic and prognostic biomarkers that will be used ...
Read More »An up-to-date overview of scRNA-seq data generation and analysis
Single cell RNA sequencing (scRNA-seq) is today a common and powerful technology in biomedical research settings, allowing to profile the whole transcriptome of a very large number of individual...
Read More »Challenges of single-cell and single-nucleus RNA-sequencing from core needle biopsy specimens
Single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA-seq (snRNA-seq) allow transcriptomic profiling of thousands of cells from a renal biopsy...
Read More »A simple guide to de novo transcriptome assembly and annotation
A transcriptome constructed from short-read RNA sequencing (RNA-seq) is an easily attainable proxy catalog of protein-coding genes when genome...
Read More »The emerging landscape of spatial profiling technologies
Improved scale, multiplexing and resolution are establishing spatial nucleic acid and protein profiling methods as a major pillar for cellular atlas building of complex samples, from tissues to full organisms...
Read More »Current statistical approaches and outstanding challenges to differential expression analysis of single-cell RNA-seq data
With the advent of single-cell RNA-sequencing (scRNA-seq), it is possible to measure the expression dynamics of genes at the single-cell level. Through scRNA-seq, a huge amount of expression data for several thousand(s) of genes over million(s) of cells are generated ...
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